Application of bayesian non parametric estimation on cervical cancer: A case study of University College Hospital, Nigeria.

Abstract

Cervical cancer is the third most common malignancy in women worldwide, and in developing countries, it remains a leading cause of cancer-related death for women. The disease is a significant illness in women in Sub Sahara Africa Countries like Nigeria. Cervical cancer ranks as the 2nd most prevalent cancer among women in Nigeria and the most prevalent cancer among ages 15 – 44 years. Some of the identified risk factors of this disease have been wrongly captured in some statistical models. This consequentially makes the result of the analysis wrongly interpreted and concluded when the risk factors are continuous. This study is aimed at examining the Bayesian estimation of cervical cancer on a woman's age and survival period of the disease using the application of non-parametric techniques. The study is a means to apply Bayesian Nonparametric estimation on cervical cancer. The study findings reveal that women between ages 40 - 60 years have a significant increase in the probability of mortality from cervical cancer when the survival period is between stage I-IV. Also, there is an increase in woman's age and survival period of living with the disease which is significantly likely to decrease the mortality from cervical cancer in the study area.